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Automaty komórkowe׌cieżka najmniejszego kosztu / Analiza kosztu-dystansu×
DziedzinaSymulacjaAnaliza przestrzenna
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1940s–1950s (formalized); 1970 (Conway's Game of Life); 2002 (Wolfram's systematic classification)1994
TwórcaJohn von Neumann and Stanislaw Ulam (1940s–1950s); popularized by John Conway (1970) and Stephen Wolfram (1980s–2002)Edsger Dijkstra (shortest path); GIS cost-surface adaptation
TypGrid-based computational simulation modelRaster cost-surface routing
Źródło pierwotneWolfram, S. (2002). A New Kind of Science. Wolfram Media. ISBN: 978-1579550080Dijkstra, E. W. (1959). A note on two problems in connexion with graphs. Numerische Mathematik, 1(1), 269–271. DOI ↗
Inne nazwyCA, Hücresel Otomat (Cellular Automata), lattice model, grid-based simulationcost-distance analysis, accumulated cost surface, least-cost corridor, en düşük maliyetli yol
Pokrewne53
PodsumowanieCellular automata (CA) is a grid-based computational simulation model, first formalized by John von Neumann and Stanislaw Ulam in the 1940s–1950s and brought to wide attention by John Conway's Game of Life (1970) and Stephen Wolfram's systematic classification (2002), in which a lattice of cells — each holding a finite discrete state — evolves in discrete time steps according to local neighborhood interaction rules, causing complex global patterns to emerge from simple local specifications.Least-cost path analysis finds the route between two locations that minimizes accumulated travel cost across a landscape, rather than minimizing straight-line distance. By encoding terrain, slope, land cover, and other frictions into a cost surface and accumulating cost outward from a source, it identifies optimal corridors for roads, pipelines, trails, power lines, and wildlife movement — a core raster-GIS technique built on Dijkstra's shortest-path logic.
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ScholarGatePorównaj metody: Cellular Automata · Least-Cost Path. Pobrano 2026-06-18 z https://scholargate.app/pl/compare